in this paper, the deep drawing process of tailor welded blanks is simulated using the finite element modelling and verified using the experimental results available in the literature. then the effect of die and material properties on the welding line movement is investigated. it is seen that the most effective material parameters on weld line movement are different between sheet metal thicknes...

introduction: recently, attention has been drawn to the influence of smear layer removal on apical seal, and the relation of root canal filling material with canal wall surface in the presence and absence of the smear layer. the purpose of this study was to evaluate the influence of the smear layer removal on the apical sealing ability of ah26 sealer. materials and methods: forty extracted huma...

Introduction / objectives Surgical gloves create a protective barrier, however high perforation rates (6%>60%) are reported in the literature. A recent study has suggested linkage between glove perforation and increased risk of SSI. This investigation evaluated a model of microbial passage through conventional single (A), double-thickness (B) and a tri-layer innovative surgical glove (C) with a...

Statistical features, such as histogram, Bag-of-Words (BoW) and Fisher Vector, were commonly used with hand-crafted features in conventional classification methods, but attract less attention since the popularity of deep learning methods. In this paper, we propose a learnable histogram layer, which learns histogram features within deep neural networks in end-to-end training. Such a layer is abl...

Deep learning has shown promising results in many machine learning applications. The hierarchical feature representation built by deep networks enable compact and precise encoding of the data. A kernel analysis of the trained deep networks demonstrated that with deeper layers, more simple and more accurate data representations are obtained. In this paper, we propose an approach for layer-wise t...

BACKGROUND This biomechanical study examined difference in cement pressures generated by flanged and unflanged acetabular cups in hip arthroplasty. METHOD Using a model acetabulum, cement was inserted and pressurised followed by cup insertion and pressurisation. Pressures were recorded using transducers in the acetabulum. We compared Charnley Ogee (flanged), Exeter contemporary (flanged) and ...

Abstract Natural gradient descent (NGD) helps to accelerate the convergence of dynamics, but it requires approximations in large-scale deep neural networks because its high computational cost. Empirical studies have confirmed that some NGD methods with approximate Fisher information converge sufficiently fast practice. Nevertheless, remains unclear from theoretical perspective why and under wha...

The objective of this work is to develop deep theoretical methods that are based on the solution of the integral boundary layer equations for investigating film cooling in liquid rocket engine. The integral model assumes that heat is transferred from hot free stream gas to the liquid film both by convection and radiation. The mass is transferred to the free srteam gas by the well-known blowing ...

Traditionally, total skin electron patients remove all clothing for treatment. It is generally assumed that this is best for the treatment of superficial skin lesions out of concern clothing may significantly perturb dose. We investigate the dosimetric effect of patient gowns and determine the necessity of treating patients naked. Using GAFCHROMIC EBT2 film, dose to a cylindrical phantom was me...

Currently there are two predominant ways to train deep neural networks. The first one uses restricted Boltzmann machine (RBM) and the second one autoencoders. RBMs are stacked in layers to form deep belief network (DBN); the final representation layer is attached to the target to complete the deep neural network. Autoencoders are nested one inside the other to form stacked autoencoders; once th...